Calendar

LEC # TOPICS KEY DATES
1 Introduction, Tutorial on PCA
2 Eigenfaces
3 Active Appearance Models
4 Tutorial on EM
5 Learning Flexible Sprites in Video Layers
6 LLE and other Manifold Learning Methods
7 EM Segmentation
8 Tutorial on Calculus of Variations
9 Mumford-Shah Proposals due
10 Snakes
11 Geodesic Active Contours
12 Shape Based Curve Evolution
13 Tutorial on Clustering
14 Spectral Clustering
15 Normalized Cuts
16 Graph Cuts for Energy Minimization
17 Belief Propagation
18 SIFT
19 Constellation Model
20 Shape Context
21 Local Descriptors
22 Object Recognition
23 Finite Element Models Final papers due
24 Non-rigid Registration using B-splines
25 Belief Propagation in Image Analysis
26 Doing Photogrammetry Right Paper reviews due